Data Scientist - Machine Learning Engineer

Desenvolvimento

São Paulo - SP

Why do we hire data scientists?

Nubank is a technology company that has set out to completely rethink financial services in Brazil. We need world-class data scientists (and modelers, statisticians, AI practitioners, machine learning engineers) to build proprietary algorithms that predict responsiveness to marketing, credit risk, fraud likelihood and many other types of customer behavior to get us there.

What are some examples of problems a Machine Learning Engineer solves?

At Nubank, we don't shy away from using the latest machine learning algorithms, techniques and technologies; in fact, we encourage them. We use a database technology that virtually eliminates potential sources of leakage, which means you can spend less time worrying about data quality and more time building the most sophisticated models in the financial services industry. We have rich datasets with natural language text, images, graphs, and much more, as well as more traditional sources of financial data. A machine learning engineer's goal is to help us translate all this into value for Nubank and our customers. Below are just a few of the problems you might solve:

Automate the creation and tuning of hundreds of different machine learning models

Build infrastructure to decrease the time a model takes to go from inception to production

Build infrastructure to help us bring more complex models to production

Use Natural Language Processing to understand text content

Help monitor the state of our models using advanced statistical techniques

REQUIREMENTS

You are hungry and enjoy being constantly challenged to learn and do more

You embrace conflict of ideas and like to question the status quo

You learn quickly and easily adapt to changing situations and priorities

You believe in building phenomenal products and doing great work by international standards

You want to understand the big picture, to be held accountable and make a meaningful contribution with your work

We are excited to meet people with various areas of expertise (both experienced and college seniors) – there is no single ideal profile. We believe there is room for very diverse skill sets to add value.

You will experience an early stage startup culture in a truly diverse and international environment. We believe in good team chemistry, flat hierarchy, enthusiasm for creating things, and our surprising capacity to learn new things when we stay humble and open-minded. An engineering or computer science undergraduate degree is helpful.

Examples of relevant experience we value:

Solid engineering and coding skills. Ability to write high performance production quality code. Experience in Scala, Python, Clojure and other similar languages is a plus